K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification

02/11/2021
by   Taewoo Kim, et al.
0

The hair and beauty industry is one of the fastest growing industries. This led to the development of various applications, such as virtual hair dyeing or hairstyle translations, to satisfy the need of the customers. Although there are several public hair datasets available for these applications, they consist of limited number of images with low resolution, which restrict their performance on high-quality hair editing. Therefore, we introduce a novel large-scale Korean hairstyle dataset, K-hairstyle, 256,679 with high-resolution images. In addition, K-hairstyle contains various hair attributes annotated by Korean expert hair stylists and hair segmentation masks. We validate the effectiveness of our dataset by leveraging several applications, such as hairstyle translation, and hair classification and hair retrieval. Furthermore, we will release K-hairstyle soon.

READ FULL TEXT
05/31/2022

IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis

Existing 3D-aware facial generation methods face a dilemma in quality ve...
11/21/2018

Low-Resolution Face Recognition

Whilst recent face-recognition (FR) techniques have made significant pro...
03/24/2018

FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

With recent advances in computer vision and graphics, it is now possible...
05/09/2020

High Resolution Face Age Editing

Face age editing has become a crucial task in film post-production, and ...
07/20/2020

Relatable Clothing: Detecting Visual Relationships between People and Clothing

Detecting visual relationships between people and clothing in an image h...
03/25/2020

DeepStrip: High Resolution Boundary Refinement

In this paper, we target refining the boundaries in high resolution imag...